kuprel/min-dalle:cb2da7da – Run with an API on Replicate

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kuprel /min-dalle:cb2da7da

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=kuprel/min-dalle

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run kuprel/min-dalle using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kuprel/min-dalle:cb2da7da16a54c78ad915be99f00c028a8d619031946ed4de46fa02c677230f1",
  {
    input: {
      text: "Face portrait of Darth Vader, by Pablo Picasso",
      top_k: 16384,
      seamless: false,
      grid_size: 5,
      save_as_png: false,
      temperature: 1.5,
      progressive_outputs: true,
      supercondition_factor: 64
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run kuprel/min-dalle using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kuprel/min-dalle:cb2da7da16a54c78ad915be99f00c028a8d619031946ed4de46fa02c677230f1",
    input={
        "text": "Face portrait of Darth Vader, by Pablo Picasso",
        "top_k": 16384,
        "seamless": False,
        "grid_size": 5,
        "save_as_png": False,
        "temperature": 1.5,
        "progressive_outputs": True,
        "supercondition_factor": 64
    }
)

# The kuprel/min-dalle model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/kuprel/min-dalle/api#output-schema
    print(item)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run kuprel/min-dalle using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "kuprel/min-dalle:cb2da7da16a54c78ad915be99f00c028a8d619031946ed4de46fa02c677230f1",
    "input": {
      "text": "Face portrait of Darth Vader, by Pablo Picasso",
      "top_k": 16384,
      "seamless": false,
      "grid_size": 5,
      "save_as_png": false,
      "temperature": 1.5,
      "progressive_outputs": true,
      "supercondition_factor": 64
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2022-07-17T20:56:39.094278Z",
  "created_at": "2022-07-17T20:55:59.294294Z",
  "data_removed": false,
  "error": null,
  "id": "c2c5t2mbt5cjjkblmqv44abvuy",
  "input": {
    "text": "Face portrait of Darth Vader, by Pablo Picasso",
    "top_k": "16384",
    "seamless": false,
    "grid_size": "5",
    "temperature": "1.5",
    "progressive_outputs": true,
    "supercondition_factor": "64"
  },
  "logs": "tokenizing text\n['Ġface']\n['Ġportrait']\n['Ġof']\n['Ġdarth']\n['Ġvader', ',']\n['Ġby']\n['Ġpablo']\n['Ġpicasso']\n11 text tokens [0, 1775, 3317, 111, 19109, 22981, 11, 185, 11599, 18117, 2]\nencoding text tokens\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image",
  "metrics": {
    "predict_time": 15.280702,
    "total_time": 39.799984
  },
  "output": [
    "https://replicate.delivery/mgxm/cb69bf9a-f3ab-4f78-ab17-06d47e811a41/min-dalle-iter-1.jpg",
    "https://replicate.delivery/mgxm/2f69ca2a-55ec-4ffc-8b91-0032392c8d67/min-dalle-iter-2.jpg",
    "https://replicate.delivery/mgxm/8eefbdde-e855-4925-a8dc-20c3945b7c4c/min-dalle-iter-3.jpg",
    "https://replicate.delivery/mgxm/d3e7d34c-364a-45a1-af45-edae7bdfef3b/min-dalle-iter-4.jpg",
    "https://replicate.delivery/mgxm/cf0ab068-458b-48a7-b523-4244cccbc770/min-dalle-iter-5.jpg",
    "https://replicate.delivery/mgxm/822e2f38-ce68-49e5-95f0-041fd834d2f6/min-dalle-iter-6.jpg",
    "https://replicate.delivery/mgxm/70437e98-e4dd-4b0b-b4d7-fea75f53dde6/min-dalle-iter-7.jpg",
    "https://replicate.delivery/mgxm/1d55c7b2-3616-48b0-b350-016c3d6a4e78/min-dalle-iter-8.jpg"
  ],
  "started_at": "2022-07-17T20:56:23.813576Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/c2c5t2mbt5cjjkblmqv44abvuy",
    "cancel": "https://api.replicate.com/v1/predictions/c2c5t2mbt5cjjkblmqv44abvuy/cancel"
  },
  "version": "cb2da7da16a54c78ad915be99f00c028a8d619031946ed4de46fa02c677230f1"
}

Generated in

15.3 seconds

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